Call For Paper Volume:4 Issue:8 Aug'2017 |

An Adaptive Control Strategy For Wind Energy Conversion System Using Neuro-Fuzzy Logic Controller

Publication Date : 30/11/2014



Author(s) :

Reeshma V V , Rajalakshmi C R.


Volume/Issue :
Volume 1
,
Issue 5
(11 - 2014)



Abstract :

This paper proposes a new adaptive control strategy for converting a wind energy system.The generator used is permanent magnet synchronous generator. The converter for dc conversion is pulse width modulated current source converter. The proposed PMSG is highly efficient and reliable. Power generated by PMSG is modified according to the wind velocity and load profile by the converter. The adaptive control for pulse width modulated current source converter uses neuro- fuzzy logic controller. Neuro-fuzzy controller uses neural network learning techniques to tune membership function while keeping semantics of fuzzy logic controller intact. The proposed controller is self- tuned and adapt to changes in wind speed. Space vector modulation is used for modulating the output of the PWM-CSC. Finally a model reference is used to reduce the power system fault due to short circuit.


No. of Downloads :

64


Indexing

Web Design MymensinghPremium WordPress ThemesWeb Development

An Adaptive Control Strategy For Wind Energy Conversion System Using Neuro-Fuzzy Logic Controller

December 4, 2014